At Altamira, we remove the complexities that often make AI feel out of reach. As your zero headaches software partner, we provide a roadmap to success, taking out risks at every step, so nothing keeps you up at night.
We identify high-value use cases and measurable outcomes to ensure your AI investments drive real business impact with zero headaches in the process.
We assess and improve your data infrastructure to ensure clean, reliable data, preventing costly setbacks.
We assess feasibility, selecting the best models and architectures to help you get to value sooner.
Our approach guarantees smooth scaling and integration, preventing siloed solutions and aligning with your tech stack.
We address operational and regulatory concerns upfront to make AI technology work for you faster.
We spot hidden costs and set realistic expectations to avoid surprises, keeping your AI initiatives on track.
For the AI readiness assessment, we may initiate a Discovery phase to support complex research or create a PoC for deep technical evaluation.
We immerse into your business during the Discovery stage to select the best suitable solution for the particular case.
Audit your existing AI solution
If you already have an AI solution in place, we will conduct a thorough audit to uncover areas for improvement, ensuring maximum value.
Assess the landscape
We help you evaluate different AI technologies, tools, and platforms to determine which best meets your needs.
Identify integration challenges
Understand how AI technologies fit into your existing systems and workflows and plan the integration mindfully.
Understand data availability and quality
Assess if you already have sufficient, relevant, and high-quality data for model training and validation.
Set the right objectives
Identify the exact problem your AI solution should resolve and establish its expected business impact.
Estimate budget and timeline
Get a realistic roadmap for development, testing, and deployment to secure smooth and stress-free progress throughout your AI project.
Test your idea in the real world without heavy time or resource investment. It’s a cost-effective way to check if you’re going the right direction.
We start by turning your ideas into small-scale prototypes to evaluate its viability, ensuring a strong foundation for the next development stage.
Assess technical readiness
Check if the proposed solution is feasible within your current IT setup and business model before investing significant resources.
Identify possible risks
Spot and assess any potential technical, operational, and business risks early in the process.
Demonstrate the value
Showcase the potential value and return on investment to your stakeholders and decision-makers.
We carefully assess the results and findings of the PoC to determine whether it meets the intended goals and provides the expected value.
We will build a complex business case that justifies further investment. At this stage, you will clearly understand the potential benefits of AI adoption, ROI, and how this technology can solve your specific business challenges.
If the PoC is promising, we proceed to develop a Minimum Viable Product. The MVP is a more comprehensive version of the AI solution that can be tested with a larger audience.
When working on a product or project development roadmap, we take into account scalability, data strategy, user adoption, change management, compliance, and security. As a result, you can make informed decisions regarding your AI investment strategies.
We don’t stretch projects into “phases.” We ship usable AI solutions for business fast, test in real data, and scale what works.
We build AI inside your infrastructure, not on top of it. Your systems. Your data. Your rules.
We use AI daily. We know what works because we’ve already broken it, fixed it, and scaled it ourselves.
Clients see 4× faster delivery and up to 30% cost reduction once AI-powered business solutions go live. Efficiency stops being a KPI, it becomes your default setting.
What we do: Interview stakeholders, review data flows, check system access, and score use cases by impact vs. effort. What you get: A short decision brief: target workflow, success metric, data needs, and risk flags.
What we do: Build a working pilot against real data: a copilot, agent, or model plugged into a safe slice of your stack. What you get: A demo you can click, latency/accuracy numbers, and a rollout plan.
What we do: Wire the pilot into production: APIs, auth, permissions, logs, and monitoring. What you get: A deployed feature or workflow that people actually use – with audit trails and alerts.
What we do: Expand to new teams/use cases, tune prompts/models, and train your people. What you get: Dashboards, SOPs, and a clean handover – or we keep running it with you.
Altamira helped us to shape the future of music by launching our disruptive publishing tool scodo. What I appreciate most in working with them is their incredibly structured approach while keeping a strong focus on reaching our project’s goals. And of course all of that paired with highly talented and likeable people across the board.
Head of Services, Universal Edition
It has been an absolute pleasure working with the team at Altamira. We have never been blocked or impeded by their work. They operate efficiently and quickly to get the job done.
CEO, CTRL Golf
Being deeply invested in the education sector, it was quite a challenge to find a software development partner capable of understanding and delivering on our vision. Altamira rose to the occasion, meeting our expectations with the development of our educational solution. Their holistic approach was evident in how professionally they integrated our ideas with their expertise, resulting in a product that totally meets our goals.
CEO, Elula
At first, I felt hesitant about trusting such a complex project to outsource developers. But, fortunately, my concerns appeared to be absolutely unfounded. Altamira team did amazing job! And I was pleasantly surprised by how well-established processes they have.
CTO, Ticker Tocker
Communication was excellent and my original idea became real thanks to the brilliant work of Business Analysts and Project Managers. Their prompts were always on time, hence there were no misunderstandings in the process. I am absolutely satisfied with how my app looks and functions. It is exactly what I wanted to get when I decided to go with this team.
CEO & Co-founder, Aquiline Drones
Altamira produced superlative deliverables that provide valuable information to guide internal operations and support sales processes. The team was receptive to feedback, adapting resources to ensure effective collaboration.
CTO, SOLJETS
AI readiness is your organisation’s ability to successfully implement AI. Ensuring the right infrastructure, high-quality data, skilled talent, and streamlined processes from the onset helps remove the headaches of AI development further, securing effective AI adoption.
To prepare your data for AI, we need to make sure it is high-quality, well-structured, and properly labelled. We will standardise formats, eliminate duplicates and implement strong data governance practices to enhance AI model performance.
Getting AI-ready enables your organisations to use AI for automation, insights, and decision-making. It reduces inefficiencies, enhances competitiveness, and unlocks new opportunities for your business growth. Reach out to learn more about AI readiness process.
AI adoption is the process of integrating artificial intelligence technologies into your operations, workflows, and decision-making processes. AI integration covers implementing AI-powered tools and systems that automate tasks, analyse AI data readiness, provide data-driven insights, and improve various aspects of the business.
AI can assist in feasibility studies by analysing data, identifying risks, and predicting outcomes, but human expertise is still needed for strategic evaluation and decision-making.
We evaluate AI project feasibility by assessing your data availability, technical requirements, business value, costs, and potential risks. As a rule, we conduct a discovery or run a proof-of-concept project to validate AI’s effectiveness. Get in touch to learn more about our AI adoption framework.
The cost of AI readiness assessment depends on your project’s complexity, data requirements, and industry. The final cost may range from $10,000 to $25,000- $30,000
We start by defining the problem AI will solve, gathering relevant data, and consulting stakeholders. Then, analyse technical and financial feasibility before making an informed decision. Contact us to get a free expert consultation regarding AI adoption.
